Alternatives and similar repositories for ZSD_Release

Users that are interested in ZSD_Release are comparing it to the libraries listed below

• salman-h-khan / PL-ZSD_Release
  This repository provides training and evaluation code for paper titled "Polar Loss for Zero-Shot Object Detection." (Arxiv version) and "…
  ☆123Updated 5 years ago
• cswluo / CrossX
  This is the PyTorch implementation of our paper "Cross-X learning for Fine-Grained Visual Categorization"
  ☆74Updated 6 years ago
• iamhankai / attribute-aware-attention
  [ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning
  ☆159Updated 6 years ago
• richardaecn / cvpr18-inaturalist-transfer
  Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018
  ☆196Updated 7 years ago
• haochen-rye / LSTD
  An object detection architecture combines the advantage of SSD and Faster-RCNN.
  ☆72Updated 6 years ago
• msight-tech / research-curriculumnet
  CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images
  ☆160Updated 5 years ago
• dvornikita / context_aug
  Context-driven data augmentation for Object Detection (ECCV'18)
  ☆120Updated 7 years ago
• escorciav / roi_pooling
  ROIPooling for pytorch
  ☆51Updated 6 years ago
• adityaarun1 / Detectron.pytorch
  A PyTorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.…
  ☆65Updated 6 years ago
• DeepInsight-PCALab / CompactBilinearPooling-Pytorch
  A Pytorch Implementation for Compact Bilinear Pooling.
  ☆188Updated 4 years ago
• prlz77 / attend-and-rectify
  Pytorch code for the IEEE TM/ECCV paper "Attend and rectify"
  ☆53Updated 6 years ago
• AruniRC / detectron-self-train
  A PyTorch Detectron codebase for domain adaptation of object detectors.
  ☆117Updated 6 years ago
• SHI-Labs / Decoupled-Classification-Refinement
  Revisiting RCNN: On Awakening the Classification Power of Faster RCNN (ECCV 2018)
  ☆169Updated 5 years ago
• wonheeML / mtl-ssl
  Multi-task Self-supervised Object Detection via Recycling of Bounding Box Annotations (CVPR, 2019)
  ☆129Updated 4 years ago
• zhufengx / SRN_multilabel
  ☆142Updated 4 years ago
• ppengtang / oicr
  Caffe codes for our papers "Multiple Instance Detection Network with Online Instance Classifier Refinement" and "PCL: Proposal Cluster Le…
  ☆217Updated 4 years ago
• abhimanyudubey / confusion
  Code for the ECCV 2018 paper "Pairwise Confusion for Fine-Grained Visual Classification"
  ☆201Updated 7 years ago
• researchmm / DBTNet
  Code for our NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation"
  ☆105Updated 5 years ago
• heefe92 / Relation_Networks-pytorch
  Relation Networks for object detection based pytorch
  ☆127Updated 7 years ago
• chanyn / HKRM
  Hybrid Knowledge Routed Module for Large-scale Object Detection (NerIPS2018)
  ☆105Updated 4 years ago
• junsukchoe / ADL
  Attention-based Dropout Layer for Weakly Supervised Object Localization (CVPR 2019 Oral)
  ☆197Updated 5 years ago
• minfengUCAS / Muti-Attention-CNN
  ☆73Updated 7 years ago
• WanFang13 / C-MIL
  Code for C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection
  ☆61Updated 5 years ago
• Yochengliu / MLIC-KD-WSD
  Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection (ACM MM 2018)
  ☆59Updated 4 years ago
• ylshaooo / keras-zero-shot-detection
  Keras implementation of zero-shot detection based on YOLOv3 model.
  ☆47Updated 6 years ago
• yeezhu / SPN.pytorch
  PyTorch implementation of "Soft Proposal Networks for Weakly Supervised Object Localization", ICCV 2017.
  ☆210Updated 7 years ago
• tau-yihouxiang / WS_DAN
  The official TensorFlow implementation of WS-DAN.
  ☆108Updated 5 years ago
• generalized-iou / Detectron.pytorch
  ☆122Updated 6 years ago
• xcnkx / fine_grained_classification
  ☆52Updated 6 years ago
• msight-tech / imaterialist-product-2019
  iMaterialist Challenge on Product Recognition at FGVC6, CVPR 2019
  ☆103Updated 5 years ago